Heat Demand Forecasting Algorithm Development

Developed a forecasting algorithm that predicts the heat demand of buildings using a previous year's data

Utilized three different approaches: linear regression, LSTM, and VAR

Compared the performance of each approach using the values of RMSE and MAE